Secure from input to insight

Deepdots protects sensitive customer feedback from ingestion to AI-assisted analysis and reporting. With governed AI processing, clear data boundaries, and secure cloud infrastructure, teams can turn complex feedback into trusted insight without compromising privacy or control.

Private AI model processing

Private AI model processing:
Deepdots processes customer feedback in controlled AI environments. Customer data is not used to train public LLMs and is handled under agreed customer terms, access controls, and data protection safeguards.

Secure AI processing:
Deepdots’ AI workflows are designed to balance analysis quality, performance, and secure processing within controlled cloud infrastructure.

Consistent reliability:
Deepdots runs on monitored cloud infrastructure designed for resilient service delivery. Application performance is continuously tracked, with automated recovery support if unexpected faults occur.

Deepdots data security image (private AI processing and reliable workflows)

Security controls across every workflow

Secure integration:
Deepdots runs on controlled GCP-hosted infrastructure, with customer feedback protected through encryption, access governance, monitoring, and documented data handling procedures.

Compliance framework:
Deepdots’ security posture incorporates SOC 2 controls, GDPR-aligned data protection practices, encryption, access controls, vulnerability monitoring, incident response, and secure change management.

Data validation layers:
Deepdots applies safeguards across system inputs and outputs to identify anomalies, manage processing exceptions, and protect workflow integrity under customer terms and DPA-based controls.

Structured protection for sensitive feedback

Data privacy:
Deepdots applies safeguards at ingestion and processing boundaries. Sensitive feedback is protected through access controls, encryption, and documented data handling procedures before analysis.

Data boundaries:
Feedback records are handled through access and governance controls that help reduce the risk of unauthorized access.

Structured protection:
Customer feedback can contain personal details, commercial context, and account-specific information. Deepdots processes this data for agreed service purposes within governed access and data protection controls.

Frequently asked questions

Do you hold any security certifications?Amalia Fiore2026-07-02T10:19:24+00:00

Do you hold any security certifications?

Yes. Deepdots is fully SOC 2 compliant, with our independent third-party audit reports available upon request. Our platform architecture also incorporates GDPR-aligned data protection controls by default, including end-to-end encryption (TLS 1.3 in transit and AES-256 at rest).

Who are Deepdots’ sub-processors?Amalia Fiore2026-07-02T10:19:40+00:00

Who are Deepdots’ sub-processors?

To minimize third-party exposure and supply-chain risks, Google Cloud is our sole sub-processor. Because our custom AI models are hosted directly on our private virtual instances, no external AI vendors or third-party tools ever touch your data.

Where is our data hosted and stored?Amalia Fiore2026-07-02T10:19:58+00:00

Where is our data hosted and stored?

Our entire platform infrastructure, microservices, AI models, and database systems are hosted exclusively within Google Cloud Platform (GCP) EMEA on secure servers physically located in the European Union (EU).

Is my company’s data used to train Deepdots’ AI models?Amalia Fiore2026-07-02T10:20:24+00:00

Is my company’s data used to train Deepdots’ AI models?

Absolutely not. Customer data is strictly logically segregated and processed transiently. We have a strict zero-retention architecture for model training, meaning your data is never used to develop, train, fine-tune, or maintain our core AI systems.

What AI models does Deepdots use to process customer feedback?Amalia Fiore2026-07-02T10:20:38+00:00

What AI models does Deepdots use to process customer feedback?

Deepdots uses its own proprietary, custom-built language models developed entirely in-house. We do not rely on, nor do we route any customer data through, third-party AI APIs or external LLM providers (such as OpenAI, Anthropic, or Mistral).

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Trusted by leading enterprises

Secure from input to insight

Deepdots protects sensitive customer feedback from ingestion to AI-assisted analysis and reporting. With governed AI processing, clear data boundaries, and secure cloud infrastructure, teams can turn complex feedback into trusted insight without compromising privacy or control.

Private AI model processing

Private AI model processing:
Deepdots processes customer feedback in controlled AI environments. Customer data is not used to train public LLMs and is handled under agreed customer terms, access controls, and data protection safeguards.

Secure AI processing:
Deepdots’ AI workflows are designed to balance analysis quality, performance, and secure processing within controlled cloud infrastructure.

Consistent reliability:
Deepdots runs on monitored cloud infrastructure designed for resilient service delivery. Application performance is continuously tracked, with automated recovery support if unexpected faults occur.

Security controls across every workflow

Secure integration:
Deepdots runs on controlled GCP-hosted infrastructure, with customer feedback protected through encryption, access governance, monitoring, and documented data handling procedures.

Compliance framework:
Deepdots’ security posture incorporates SOC 2 controls, GDPR-aligned data protection practices, encryption, access controls, vulnerability monitoring, incident response, and secure change management.

Data validation layers:
Deepdots applies safeguards across system inputs and outputs to identify anomalies, manage processing exceptions, and protect workflow integrity under customer terms and DPA-based controls.

Structured protection for sensitive feedback

Data privacy:
Deepdots applies safeguards at ingestion and processing boundaries. Sensitive feedback is protected through access controls, encryption, and documented data handling procedures before analysis.

Data boundaries:
Feedback records are handled through access and governance controls that help reduce the risk of unauthorized access.

Structured protection:
Customer feedback can contain personal details, commercial context, and account-specific information. Deepdots processes this data for agreed service purposes within governed access and data protection controls.

Frequently asked questions

Do you hold any security certifications?Amalia Fiore2026-07-02T10:19:24+00:00

Do you hold any security certifications?

Yes. Deepdots is fully SOC 2 compliant, with our independent third-party audit reports available upon request. Our platform architecture also incorporates GDPR-aligned data protection controls by default, including end-to-end encryption (TLS 1.3 in transit and AES-256 at rest).

Who are Deepdots’ sub-processors?Amalia Fiore2026-07-02T10:19:40+00:00